| PO-1620 Transferability of deep learning models to the segmentation of gross tumour volume in brain cancer A Duman, P Whybra, J Powell, S Thomas, X Sun, E Spezi Radiotherapy & Oncology 182 (S1), S1315-S1316, 2023 | 5 | 2023 |
| From data to insights: machine learning empowers prognostic biomarker prediction in autism E Mehmetbeyoglu, A Duman, S Taheri, Y Ozkul, M Rassoulzadegan Journal of Personalized Medicine 13 (12), 1713, 2023 | 3 | 2023 |
| RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation A Duman, O Karakuş, X Sun, S Thomas, J Powell, E Spezi Cancers 15 (23), 5620, 2023 | 2 | 2023 |
| Generalizability of Deep Learning Models on Brain Tumour Segmentation A Duman, J Powell, S Thomas, X Sun, E Spezi the Cardiff University Engineering Research Conference 2023, 2024 | 1 | 2024 |
| Evaluation of Radiomic Analysis over the Comparison of Machine Learning Approach and Radiomic Risk Score on Glioblastoma A Duman, S Thomas, J Powell, E Spezi the Cardiff University Engineering Research Conference 2023, 2024 | | 2024 |
| Investigating the feasibility of MRI auto-segmentation for Image Guided Brachytherapy C Doherty, A Duman, R Chuter, M Hutton, E Spezi Cardiff University Press, 2024 | | 2024 |
Professor Spezi EmilianoCardiff University School of Engineering在 cardiff.ac.uk 的电子邮件经过验证
Professor Spezi EmilianoCardiff University School of Engineering在 cardiff.ac.uk 的电子邮件经过验证
Xianfang SunSchool of Computer Science & Informatics, Cardiff University在 cardiff.ac.uk 的电子邮件经过验证